Zhejiang Geely Holding Group had six patents in cloud during Q4 2023. The patent filed by Zhejiang Geely Holding Group Co Ltd in Q4 2023 relates to a method and system for matching proprietary vehicle signals to Vehicle Signal Specification (VSS) signals, enabling various connected vehicle functionalities. The system uses a candidate ranking algorithm based on signal names, semantic descriptions, units, and data types. It also suggests a knowledge graph for candidate storage and generation, as well as methods for automatic translation code generation when a one-to-one mapping is not available. The algorithms can be implemented in the vehicle or in the cloud, with mappings tailored to specific use cases or more extensive and cached for future use. GlobalData’s report on Zhejiang Geely Holding Group gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Zhejiang Geely Holding Group grant share with cloud as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and system for vehicle unique signal to vehicle general signal matching (Patent ID: US20230367778A1)
The patent filed by Zhejiang Geely Holding Group Co Ltd describes a method and system for matching proprietary vehicle signals to Vehicle Signal Specification (VSS) signals to enable various connected vehicle functionalities. The method involves using translation instructions stored in memory to map vehicle signal identifiers to corresponding specification signal identifiers based on attributes like signal name, descriptive text, units, and data type. The system includes a memory, processor, and translation instructions for executing this matching process, which can be based on a vehicle identification, specified use case, and involves caching results for future use. The algorithm used for matching assesses attributes like signal name, descriptive text, units, and data type, and can weight mapping results accordingly.
The method and system outlined in the patent aim to facilitate the integration of proprietary vehicle signals with standard VSS signals to enable connected vehicle functionalities. By utilizing a matching and scoring algorithm based on various attributes of the signals, such as name, descriptive text, units, and data type, the system can accurately map vehicle signals to external standard signals. The process can be tailored based on specific use cases, involves caching results for efficiency, and can provide the mapped signals to external entities. Additionally, the algorithm can assess similarities between attributes using machine learning models and heuristic matching algorithms, ensuring a comprehensive and accurate mapping process.
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